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Silviculture and Plant Sciences

New polymorphic microsatellite markers for Sarcandra glabra (Chloranthaceae), an evergreen broad-leaved shrub endangered in South Korea

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Pages 364-368 | Received 30 Apr 2020, Accepted 11 Jun 2020, Published online: 22 Jun 2020
 

ABSTRACT

Microsatellite markers were newly isolated for Sarcandra glabra (Chloranthaceae), an ecologically important species in the evergreen broad-leaved forests of East Asia. On the Korean Peninsula, S. glabra is endangered, being extremely restricted to a few habitats on Jeju Island, which is the northern edge of their distribution range with evolutionary potential. Recently, populations have been rapidly declining internationally, increasing the urgency for the conservation of Jeju populations. For long-term conservation, we designed 24 polymorphic microsatellite markers in three multiplex sets. S. glabra frequently breed through vegetative reproduction. Therefore, the ability to detect clones was also tested. From two natural populations, the number of alleles per locus ranged from 2 to 14 (average, 4.292). Values for expected heterozygosity ranged from 0.000 to 0.891 (mean, 0.263). As a result of the genotype accumulation curve, the complete recognition (100%) of all multilocus genotypes can be achieved using only 21 loci, indicating that markers showed a high ability to accurately identify individuals in natural populations. These markers will be beneficial for establishing suitable conservation strategies for S. glabra in East Asia as well as Jeju Island.

Acknowledgments

We are grateful to the following researchers for commenting on a previous version of this manuscript: Professor H. T. Im (Chonnam National University), Dr. J. S. Park and Dr. D. P. Jin (Inha University). The authors are also grateful to the anonymous referees for commenting on a previous version of this manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was supported by the National Research Foundation of Korea (NRF) (no. 2019R1F1A1057589).

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